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An Evaluation of XML-RPC?

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An Evaluation of XML-RPC? An Evaluation of XML-RPC? Mark Allman NASA Glenn Research Center/BBN Technologies [email protected] Abstract traditional RPC systems in several ways: This paper explores the complexity and performance of the ¯ In some RPC systems, such as Sun RPC, the RPC sys- XML-RPC system for remote method invocation. We de- tem (with input from the programmer) generates stubs veloped a program that can use either XML-RPC-based net- for the programmer to call. For instance, if the program- work communication or a hand-rolled version of networking mer wanted to call a remote method foo() they would code based on the java.net package. We first compare our two call a local method foo() which would be a stub gen- implementations using traditional object-oriented metrics. In erated by the RPC system. XML-RPC differs from such addition, we conduct tests over a local network and the Inter- systems, as it does not generate stubs for the program- net to assess the performance of the two versions of the net- mer. Rather, XML-RPC provides several primitives for working code using traditional internetworking metrics. We programmers to use to construct method requests and find that XML-RPC reduces the programming complexity of obtain the corresponding response. The XML-RPC sys- the software by roughly 50% (across various metrics). On the tem reduces the work required by programmers because other hand, the hand-rolled java.net-based implementationof- the programmer does not have to tightly specify their re- fers up to an order of magnitude better network performance mote procedures for a stub generator. On the other hand, in some of our tests. XML-RPC requires developers to know more about the underlying system than an RPC system that provides a 1 Introduction stub generator. The notion of remote procedure calls (RPC) was first outlined ¯ Since XML-RPC uses a standard XML encoding strat- in [4]. The idea behind RPC is that a software developer is al- egy the system is highly interoperable. A system like ready familiar with the idea of making a procedure call (or Sun RPC can be used across architectures, operating sys- a method call in object-oriented programming vernacular). tems and languages. However, the programmer must Therefore, to make the development of distributed systems have the same RPC system on all platforms. On the other more accessible to all programmers RPCs provide the devel- hand, XML-RPC represents a loose coupling between oper an interface to communications code that is as close as hosts. As long as the hosts both work to the specification possible to simply making a procedure call. Using this no- they can communicate trivially. tion the developer does not have to write networking code, ¯ Argument marshaling is a non-issue in XML-RPC since thus allowing programmers who do not happen to be experts all data is encoded as text before transmission. in developing network code to write large complex systems ¯ XML-RPC is easily layered on top of existing appli- distributed across any number of hosts on a network. cation protocols (e.g., the HyperText Transfer Protocol Many systems have tried to implement the notion of RPC in (HTTP) [3, 8]). Therefore, integrating XML-RPC with various ways. Sun RPC was an early, widely deployed and other applications is straightforward. used variant of RPC, with CORBA [15], DCOM, JavaRMI, SOAP [6] and many others following. While these sys- While the motivation behind RPC (and in particular XML- tems are all meant for slightly different environments (e.g., RPC) is compelling we wondered about the benefits versus CORBA is an object-oriented version of RPC) they all share the costs. The XML-RPC system is quite flexible and generic the same major goal of making distributed applications easier and therefore likely not optimized for any particular situation. to write and maintain. In the study presented in this paper we While this is a feature it may also be a disadvantage if an focus on a remote procedure call system called XML-RPC1. implementer is trying to obtain good network performance. At its core, XML-RPC defines a framework for transmitting The goal of this paper is to assess XML-RPC by comparing method calls and the resulting responses between processes a set of simple remote procedure calls implemented in XML- across hosts. The transactions are encoded in a standard way RPC, as well as using hand-rolled networking code based on using XML [7]. The XML-RPC approach differs from more the java.net package. While we use the Java version of the XML-RPC system, we note that XML-RPC is implemented ? This paper appears in ACM Performance Evaluation Review, March for many other languages. 2003. 1http://www.xmlrpc.org Our comparison of manually written networking code with p. 1 XML-RPC-based code has two major thrusts. First, we com- server can handle vectors of arbitrary size as input. In pare the two systems in terms of object-oriented code metrics. our experiments, the client requests the log transforma- That is, we assess the difficulty of writing and maintaining the tion of 50,000 randomly chosen values. This method two variants, as well as the complexity of the resulting code. represents a big request/big response transaction. The second area for comparison is in terms of the network performance attained by the two variants. Most of the code in the testing programs is the same regard- The remainder of this paper is organized as follows. Ü 2 out- less of which mechanism is being used to communicate over lines our testing program and the environment in which our the network. For instance, the code that actually performs the tests were conducted. Ü 3 outlines the results of applying above actions is implemented in a PerfActions class and object-oriented metrics to both versions of the communica- is shared. tions subsystem that we implemented. Ü 4 outlines the results of applying traditional network performance metrics to our Client Server two versions of networking code. Ü 5 discusses using com- pression techniques to reduce the size of XML-RPC transac- Network tions – which is found to be a major cause of performance Comm Comm problems for XML-RPC. Finally, Ü 6 gives our conclusions and outlines future work in this area. Figure 1: Layout of testing programs. 2 Test Environment To examine the differences between our manually written The general program flow is shown in figure 1. As shown, code based on the java.net package and XML-RPC code we both the client and server applications communicate through wrote two modest testing programs (a client and a server) some communications system which, in turn, exchanges mes- that perform a number of operations. The client can use the sages over some network. The communication system used java.net or XML-RPC codeto call on the server to performthe in our test program depends on command-line input from the requested operations based on command-line options given user. The three currently implemented subsystems are a hand- by the user. The server program receives requests from the rolled application layer protocol based on java.net, an XML- client, performs the requested operation and returns the re- RPC-based system for remote method invocation and a mech- sults. Like the client, the server can use either the java.net- anism that simply invokes the methods locally rather than run- based or XML-RPC code for communication. ning the method on another host (for debugging purposes). The four operations the program performs were chosen to The first two subsystems are explained in the following sub- use different kinds of requests and responses. While we only sections. scratch the surface of all possible method calls and responses 2.1 java.net Code we believe the following methods offer a useful exploration The first communicationsubsystem we discuss is based on the of the space. The operations we use are: java.net package. We use the Socket and ServerSocket classes to setup a separate connection for each transaction. ¯ boolean IsPrime (int n) In principle, we can leave the connection open to serve more This function determines whether the given integer is than one transaction. However, as an initial study, we did prime and returns this determination. This method rep- not want to call multiple methods through a single connection resents a small request/small response transaction. (likewise, we did not use XML-RPC’s boxcar or multi-call ¯ double Average (Vector numbers) feature). We used the Transmission Control Protocol (TCP) This function returns the average of the given vector of [14] to ensure reliable data delivery across the network. In double-precision numbers. The server can handle a vec- addition, in some of our tests (as outlined in Ü 4.3) we increase tor of arbitrary size. In the tests reported in this paper the size of the send and receive socket buffers to 60 KB. we use a list of 50,000 randomly chosen numbers. This We implement the client networking code in one class and method represents a big request/small response transac- the server code in another. In addition, we use a third class tion. for generic networking routines to implement three methods ¯ Vector GetRandNums (int n) needed by both the client and server. A longer discussion of Ü This function returns a vector of Ò double-precision ran- the complexity of the implementation is given in 3. dom numbers. In the tests reported in this paper the We implement our own simple application layer protocol to client requests 50,000 random numbers.
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